EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation
Author(s) -
Evangelos Pafilis,
Pier Luigi Buttigieg,
Barbra D. Ferrell,
Emiliano Pereira-Flores,
Julia Schnetzer,
Christos Arvanitidis,
Lars Juhl Jensen
Publication year - 2016
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/baw005
Subject(s) - metadata , annotation , metagenomics , computer science , term (time) , sample (material) , information retrieval , extraction (chemistry) , world wide web , artificial intelligence , biology , chromatography , chemistry , biochemistry , gene , physics , quantum mechanics
The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have therefore developed an interactive annotation tool, EXTRACT, which helps curators identify and extract standard-compliant terms for annotation of metagenomic records and other samples. Behind its web-based user interface, the system combines published methods for named entity recognition of environment, organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, well documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Comparison of fully manual and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15-25% and helps curators to detect terms that would otherwise have been missed. Database URL: https://extract.hcmr.gr/.
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